Pérez-Sanagustín, M., Pérez-Álvarez, R., Maldonado-Mahauad, J., Villalobos, E., Hilliger, I., Hernández, J., … & Imaz, J. (2021, June). Can feedback based on predictive data improve learners’ passing rates in moocs? A preliminary analysis. In Proceedings of the Eighth ACM Conference on Learning@ Scale (pp. 339-342). (Link)
Villalobos, E., Pérez-Sanagustin, M., Sanza, C., Tricot, A., & Broisin, J. (2022). Supporting Self-regulated Learning in BL: Exploring Learners’ Tactics and Strategies. In European Conference on Technology Enhanced Learning (pp. 407-420). Springer, Cham. (Link) – BEST PAPER AWARD EC-TEL 2022
Pérez-Sanagustín, M., Pérez-Álvarez, R., Maldonado-Mahauad, J., Villalobos, E., & Sanza, C. (2022). Designing a moodle plugin for promoting learners’ self-regulated learning in blended learning. In European Conference on Technology Enhanced Learning (pp. 324-339). Springer, Cham. (Link)
Pérez-Alvarez, R., Jivet, I., Pérez-Sanagustín, M., Scheffel, M., & Verbert, K. (2022). Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review. IEEE Transactions on Learning Technologies. (Link) (Impact Factor 4.433; Q1)
Previous related Publications
Kizilcec, René F., Mar Pérez-Sanagustín, and Jorge J. Maldonado. “Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses.” Computers & education 104 (2017): 18-33.
Maldonado-Mahauad, J., Pérez-Sanagustín, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018). Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses. Computers in Human Behavior, 80, 179-196.
Matcha, W., Gašević, D., Jovanović, J., Pardo, A., Maldonado-Mahauad, J., & Pérez-Sanagustín, M. (2019, September). Detection of learning strategies: A comparison of process, sequence and network analytic approaches. In European Conference on Technology Enhanced Learning (pp. 525-540). Springer, Cham.
Moreno-Marcos, P. M., Munoz-Merino, P. J., Maldonado-Mahauad, J., Perez-Sanagustin, M., Alario-Hoyos, C., & Kloos, C. D. (2020). Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs. Computers & Education, 145, 103728.
Pérez-Álvarez, R., Maldonado-Mahauad, J., & Pérez-Sanagustín, M. (2018, September). Tools to support self-regulated learning in online environments: literature review. In European conference on technology enhanced learning (pp. 16-30). Springer, Cham.
Pérez-Álvarez, R., Maldonado-Mahauad, J., & Pérez-Sanagustín, M. (2018). Design of a Tool to Support Self-Regulated Learning Strategies in MOOCs. J. UCS, 24(8), 1090-1109.
Tricot, A., Plégat-Soutjis, F., Camps, J. F., Amiel, A., Lutz, G., & Morcillo, A. (2003, April). Utilité, utilisabilité, acceptabilité: interpréter les relations entre trois dimensions de l’évaluation des EIAH. In Environnements Informatiques pour l’Apprentissage Humain 2003 (pp. 391-402). ATIEF; INRP.S